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A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures
Non-alcoholic fatty liver disease (NAFLD) is a common, progressive liver disease strongly associated with the metabolic syndrome. It is unclear how progression of NAFLD towards cirrhosis translates into systematic changes in circulating proteins. Here, we provide a detailed proteo-transcriptomic map...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132975/ https://www.ncbi.nlm.nih.gov/pubmed/37037945 http://dx.doi.org/10.1038/s42255-023-00775-1 |
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author | Govaere, Olivier Hasoon, Megan Alexander, Leigh Cockell, Simon Tiniakos, Dina Ekstedt, Mattias Schattenberg, Jörn M. Boursier, Jerome Bugianesi, Elisabetta Ratziu, Vlad Daly, Ann K. Anstee, Quentin M. |
author_facet | Govaere, Olivier Hasoon, Megan Alexander, Leigh Cockell, Simon Tiniakos, Dina Ekstedt, Mattias Schattenberg, Jörn M. Boursier, Jerome Bugianesi, Elisabetta Ratziu, Vlad Daly, Ann K. Anstee, Quentin M. |
author_sort | Govaere, Olivier |
collection | PubMed |
description | Non-alcoholic fatty liver disease (NAFLD) is a common, progressive liver disease strongly associated with the metabolic syndrome. It is unclear how progression of NAFLD towards cirrhosis translates into systematic changes in circulating proteins. Here, we provide a detailed proteo-transcriptomic map of steatohepatitis and fibrosis during progressive NAFLD. In this multicentre proteomic study, we characterize 4,730 circulating proteins in 306 patients with histologically characterized NAFLD and integrate this with transcriptomic analysis in paired liver tissue. We identify circulating proteomic signatures for active steatohepatitis and advanced fibrosis, and correlate these with hepatic transcriptomics to develop a proteo-transcriptomic signature of 31 markers. Deconvolution of this signature by single-cell RNA sequencing reveals the hepatic cell types likely to contribute to proteomic changes with disease progression. As an exemplar of use as a non-invasive diagnostic, logistic regression establishes a composite model comprising four proteins (ADAMTSL2, AKR1B10, CFHR4 and TREM2), body mass index and type 2 diabetes mellitus status, to identify at-risk steatohepatitis. |
format | Online Article Text |
id | pubmed-10132975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101329752023-04-28 A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures Govaere, Olivier Hasoon, Megan Alexander, Leigh Cockell, Simon Tiniakos, Dina Ekstedt, Mattias Schattenberg, Jörn M. Boursier, Jerome Bugianesi, Elisabetta Ratziu, Vlad Daly, Ann K. Anstee, Quentin M. Nat Metab Letter Non-alcoholic fatty liver disease (NAFLD) is a common, progressive liver disease strongly associated with the metabolic syndrome. It is unclear how progression of NAFLD towards cirrhosis translates into systematic changes in circulating proteins. Here, we provide a detailed proteo-transcriptomic map of steatohepatitis and fibrosis during progressive NAFLD. In this multicentre proteomic study, we characterize 4,730 circulating proteins in 306 patients with histologically characterized NAFLD and integrate this with transcriptomic analysis in paired liver tissue. We identify circulating proteomic signatures for active steatohepatitis and advanced fibrosis, and correlate these with hepatic transcriptomics to develop a proteo-transcriptomic signature of 31 markers. Deconvolution of this signature by single-cell RNA sequencing reveals the hepatic cell types likely to contribute to proteomic changes with disease progression. As an exemplar of use as a non-invasive diagnostic, logistic regression establishes a composite model comprising four proteins (ADAMTSL2, AKR1B10, CFHR4 and TREM2), body mass index and type 2 diabetes mellitus status, to identify at-risk steatohepatitis. Nature Publishing Group UK 2023-04-10 2023 /pmc/articles/PMC10132975/ /pubmed/37037945 http://dx.doi.org/10.1038/s42255-023-00775-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Letter Govaere, Olivier Hasoon, Megan Alexander, Leigh Cockell, Simon Tiniakos, Dina Ekstedt, Mattias Schattenberg, Jörn M. Boursier, Jerome Bugianesi, Elisabetta Ratziu, Vlad Daly, Ann K. Anstee, Quentin M. A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title | A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title_full | A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title_fullStr | A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title_full_unstemmed | A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title_short | A proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
title_sort | proteo-transcriptomic map of non-alcoholic fatty liver disease signatures |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132975/ https://www.ncbi.nlm.nih.gov/pubmed/37037945 http://dx.doi.org/10.1038/s42255-023-00775-1 |
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